Literature DB >> 33514945

Norovirus detection in water samples at the level of single virus copies per microliter using a smartphone-based fluorescence microscope.

Soo Chung1,2, Lane E Breshears3, Alana Gonzales3, Christian M Jennings3, Christina M Morrison4, Walter Q Betancourt4, Kelly A Reynolds5, Jeong-Yeol Yoon6,7.   

Abstract

Norovirus is a widespread public health threat and has a very low infectious dose. This protocol presents the extremely sensitive mobile detection of norovirus from water samples using a custom-built smartphone-based fluorescence microscope and a paper microfluidic chip. Antibody-conjugated fluorescent particles are immunoagglutinated and spread over the paper microfluidic chip by capillary action for individual counting using a smartphone-based fluorescence microscope. Smartphone images are analyzed using intensity- and size-based thresholding for the elimination of background noise and autofluorescence as well as for the isolation of immunoagglutinated particles. The resulting pixel counts of particles are correlated with the norovirus concentration of the tested sample. This protocol provides detailed guidelines for the construction and optimization of the smartphone- and paper-based assay. In addition, a 3D-printed enclosure is presented to incorporate all components in a dark environment. On-chip concentration and the assay of higher concentrations are presented to further broaden the assay range. This method is the first to be presented as a highly sensitive mobile platform for norovirus detection using low-cost materials. With all materials and reagents prepared, a single standard assay takes under 20 min. Although the method described is used for detection of norovirus, the same protocol could be adapted for detection of other pathogens by using different antibodies.

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Year:  2021        PMID: 33514945     DOI: 10.1038/s41596-020-00460-7

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  1 in total

1.  High affinity peptides for the recognition of the heart disease biomarker troponin I identified using phage display.

Authors:  Jong Pil Park; Donald M Cropek; Scott Banta
Journal:  Biotechnol Bioeng       Date:  2010-03-01       Impact factor: 4.530

  1 in total
  6 in total

1.  Smartphone science: apps test and track infectious diseases.

Authors:  Sandeep Ravindran
Journal:  Nature       Date:  2021-05       Impact factor: 49.962

2.  Natural killer cell detection, quantification, and subpopulation identification on paper microfluidic cell chromatography using smartphone-based machine learning classification.

Authors:  Ryan Zenhausern; Alexander S Day; Babak Safavinia; Seungmin Han; Paige E Rudy; Young-Wook Won; Jeong-Yeol Yoon
Journal:  Biosens Bioelectron       Date:  2021-12-24       Impact factor: 10.618

3.  Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples.

Authors:  Lane E Breshears; Brandon T Nguyen; Patarajarin Akarapipad; Katelyn Sosnowski; Kattika Kaarj; Grace Quirk; Jennifer L Uhrlaub; Janko Nikolich-Žugich; Michael Worobey; Jeong-Yeol Yoon
Journal:  PNAS Nexus       Date:  2022-03-16

4.  Quantitative Imaging of Bacteriophage Amplification for Rapid Detection of Bacteria in Model Foods.

Authors:  Nicharee Wisuthiphaet; Xu Yang; Glenn M Young; Nitin Nitin
Journal:  Front Microbiol       Date:  2022-03-04       Impact factor: 5.640

5.  COVID-19 variants' cross-reactivity on the paper microfluidic particle counting immunoassay.

Authors:  Sangsik Kim; Ciara Eades; Jeong-Yeol Yoon
Journal:  Anal Bioanal Chem       Date:  2022-09-21       Impact factor: 4.478

6.  Smartphone-based sensitive detection of SARS-CoV-2 from saline gargle samples via flow profile analysis on a paper microfluidic chip.

Authors:  Patarajarin Akarapipad; Kattika Kaarj; Lane E Breshears; Katelyn Sosnowski; Jacob Baker; Brandon T Nguyen; Ciara Eades; Jennifer L Uhrlaub; Grace Quirk; Janko Nikolich-Žugich; Michael Worobey; Jeong-Yeol Yoon
Journal:  Biosens Bioelectron       Date:  2022-03-17       Impact factor: 12.545

  6 in total

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